SQ1_Flux_Lora
SQ1_Flux_Lora (NitroZJ, 2026) is an image-generation model. SQ1_Flux_Lora is an open-weights image model.
by NitroZJ
Best for
Ways to use SQ1_Flux_Lora in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your NitroZJ API key. osFoundry discovers SQ1_Flux_Lora automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
SQ1_Flux_Lora is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
SQ1_Flux_Lora vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SQ1_Flux_Lora
Is SQ1_Flux_Lora free to use?
SQ1_Flux_Lora is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use SQ1_Flux_Lora commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run SQ1_Flux_Lora locally?
Yes. SQ1_Flux_Lora is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SQ1_Flux_Lora best at?
SQ1_Flux_Lora is well-suited to text to image.
How do I use SQ1_Flux_Lora in osFoundry?
Paste your NitroZJ API key in the key dialog (or deploy the open weights for self-hostable models), assign SQ1_Flux_Lora to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by NitroZJ on February 18, 2026. Source: https://huggingface.co/NitroZJ/SQ1_Flux_Lora